A Survey on Applications of Neural Networks and Genetic Algorithms in Fault Diagnostics for Antenna Arrays
نویسنده
چکیده
Fault diagnosis in antenna arrays implies locating the faulty or defective elements in the array. Smart antenna arrays use digital beamforming and allow for array failure corrections. The defective elements of such antenna arrays therefore need not be replaced unlike the traditional analog approach. The smart antennas can thus support cost-effective solutions instead of replacing the hardware. The traditional analytical methods find it tedious to handle fault finding problems related with antenna arrays. Neural networks are nonlinear in nature. They can map the non linear behavior of smart antennas arrays and perform fault diagnosis with considerable time reduction. Genetic algorithms have also been applied very successfully in locating faults in the antenna array. In this review, the applications of neural networks and genetic algorithms in fault diagnosis of antenna arrays are summarized.
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